Optimization Engineer: Vehicle Routing & Scheduling

ActioNet, Inc.; United States; On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical Insurance

Vision Insurance

Dental Insurance

Life and AD&D Insurance

401(k) Savings Plan

Education and Professional Training

Flexible Spending Accounts

Employee Referral and Merit Recogniti…

Employee Assistance and Identity Theft

Paid Holidays

PTO

Disability Insurance

Job summary

ActioNet is seeking an Optimization Engineer / Algorithm Engineer to design, develop, and enhance intelligent routing and scheduling solutions. You will build vehicle routing algorithms with OR-Tools, develop clustering and constraint-based models, and integrate optimization services via APIs.

Strong background in algorithms, graph theory, and scalable Python/Java development is required. You will work on real-time and batch optimization, develop test frameworks, and tune solutions for accuracy,

Qualifications

• Strong algorithmic background including graph theory, clustering, and heuristic/approximation techniques.
• Proficiency in Python or Java for building optimization services and supporting tools.
• Experience developing scalable, high-performance services integrated with enterprise control systems.
• Demonstrated ability to design test harnesses validating solution correctness and optimization quality.
• Experience with performance tuning, parallel processing, and handling large datasets.
• Familiarity with REST APIs, data pipelines, and system integration patterns.
• Experience instrumenting systems with logging, metrics, and monitoring for operational visibility.
• Ability to document algorithms, constraints, and operational procedures while collaborating across teams.

Responsibilities

• Design and implement vehicle routing and scheduling algorithms to optimize field assignments.
• Develop clustering algorithms to minimize travel time and cost across geographies.
• Implement constraint models (capacity, time windows, skills, priorities) within the optimizer.
• Integrate the optimizer with enterprise control system APIs for intake, execution, and results publishing.
• Build batch and real-time optimization modes to support scheduled and on-demand routing.
• Refactor components into modular, extensible strategy interfaces for new routing heuristics.
• Create data preprocessing pipelines for locations, distances, and travel matrices.
• Develop automated test harnesses to validate solution correctness against datasets.
• Implement solution quality scoring metrics (distance, balance, SLA, cost).
• Create regression benchmarks comparing new algorithms to baselines.
• Add parallel processing and scaling capabilities for large route sets.
• Instrument services with logging and metrics for runtime and solver performance.
• Package optimizer services for CI/CD deployment with reproducible builds.
• Document routing logic, constraints, integration points, and runbooks.
• Provide production support and continuous improvement of optimization heuristics.

Skills

Algorithm design

Graph theory

Clustering

Heuristics

Python

Java

REST APIs

Data pipelines

Performance tuning

Parallel processing

Logging & metrics

Documentation

Tools

OR-Tools

Job description

ActioNet is seeking an Optimization Engineer / Algorithm Engineer to design, develop, and enhance intelligent routing and scheduling solutions. You will build vehicle routing algorithms with OR-Tools, develop clustering and constraint-based models, and integrate optimization services via APIs.

Strong background in algorithms, graph theory, and scalable Python/Java development is required. You will work on real-time and batch optimization, develop test frameworks, and tune solutions for accuracy,